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Quantitative analysis and chemical fingerprint similarity for quality control of the seeds of Paeonia suffruticosa Andr. by HPLC
- Source :
- Chemical Research in Chinese Universities. 33:546-551
- Publication Year :
- 2017
- Publisher :
- Springer Science and Business Media LLC, 2017.
-
Abstract
- According to the General Office of the State Council of China, tree peony seeds(TPSs, Paeonia suffruticosa Andr.) are considered an emerging source for edible oil. In Chinese folk medicine, TPSs are used for alleviating waist and leg pain. In the present study, a simple, accurate and rapid fingerprint method based on high performance liquid chromatography with diode array detection(HPLC-DAD) was developed and validated to quantify the profiles of ten representative compounds in TPSs. All standard calibration curves exhibited good linearity(R 2>0.9995) in the HPLC-DAD analysis. The recovery of the standards ranged from 96.37% to 102.10%. The results show that stilbenoids are the major constituents in TPSs, and their total content ranges from 25.71 mg/g to 54.03 mg/g. Suffruticosol A, suffruticosol B, trans-e-viniferin, ampelopsin E and paeoniflorin are the major components in methanol-water(80:20, volume ratio) extracts with average contents of 3.962, 12.264, 5.826, 14.060 and 12.755 mg/g, respectively. Additionally, 14 batches of seeds collected from different regions were used to establish a reference fingerprint. Their similarity values were higher than 0.944 except for the sample(0.863) from Linxia. These results collectively indicate that the quantitative HPLC fingerprint method can serve as a prerequisite quality control for TPSs, and is a promising resource for developing new herbal or food products.
- Subjects :
- 0106 biological sciences
0301 basic medicine
Chromatography
biology
Calibration curve
Paeonia suffruticosa
General Chemistry
biology.organism_classification
Paeoniflorin
01 natural sciences
High-performance liquid chromatography
Hplc fingerprint
03 medical and health sciences
chemistry.chemical_compound
030104 developmental biology
Similarity (network science)
chemistry
Fingerprint
Quantitative analysis (chemistry)
010606 plant biology & botany
Mathematics
Subjects
Details
- ISSN :
- 22103171 and 10059040
- Volume :
- 33
- Database :
- OpenAIRE
- Journal :
- Chemical Research in Chinese Universities
- Accession number :
- edsair.doi...........cb743fa04107d02df320cb9e59cf04eb
- Full Text :
- https://doi.org/10.1007/s40242-017-6463-9